Alternatives and similar repositories for mobile_app_open

Users that are interested in mobile_app_open are comparing it to the libraries listed below

• onnx / neural-compressor
  Model compression for ONNX
  ☆99Updated last year
• quic / efficient-transformers
  This library empowers users to seamlessly port pretrained models and checkpoints on the HuggingFace (HF) hub (developed using HF transfor…
  ☆84Updated this week
• meta-pytorch / tokenizers
  C++ implementations for various tokenizers (sentencepiece, tiktoken etc).
  ☆43Updated this week
• gmalivenko / onnx-opcounter
  Count number of parameters / MACs / FLOPS for ONNX models.
  ☆95Updated last year
• google-ai-edge / ai-edge-quantizer
  AI Edge Quantizer: flexible post training quantization for LiteRT models.
  ☆81Updated 3 weeks ago
• Libraries-Openly-Fused / cvGPUSpeedup
  A faster implementation of OpenCV-CUDA that uses OpenCV objects, and more!
  ☆54Updated 3 weeks ago
• meta-pytorch / multipy
  torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters i…
  ☆182Updated 3 months ago
• jimmy-evo / opencl_kernels
  An easy way to run, test, benchmark and tune OpenCL kernel files
  ☆24Updated 2 years ago
• microsoft / onnxconverter-common
  Common utilities for ONNX converters
  ☆288Updated 3 months ago
• zhenhuaw-me / onnxcli
  ONNX Command-Line Toolbox
  ☆35Updated last year
• hisrg / SNPE
  Snapdragon Neural Processing Engine (SNPE) SDKThe Snapdragon Neural Processing Engine (SNPE) is a Qualcomm Snapdragon software accelerate…
  ☆35Updated 3 years ago
• saic-fi / MobileQuant
  [EMNLP Findings 2024] MobileQuant: Mobile-friendly Quantization for On-device Language Models
  ☆68Updated last year
• megvii-research / IntLLaMA
  IntLLaMA: A fast and light quantization solution for LLaMA
  ☆18Updated 2 years ago
• DeMoriarty / custom_matmul_kernels
  Customized matrix multiplication kernels
  ☆57Updated 3 years ago
• MegEngine / mgeconvert
  MegEngine到其他框架的转换器
  ☆70Updated 2 years ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆159Updated 2 years ago
• staghado / vit.cpp
  Inference Vision Transformer (ViT) in plain C/C++ with ggml
  ☆300Updated last year
• daquexian / faster-rwkv
  ☆125Updated last year
• tsingmicro-toolchain / OnnxSlim
  A Toolkit to Help Optimize Large Onnx Model
  ☆162Updated last month
• masahi / torchscript-to-tvm
  ☆68Updated 2 years ago
• apple / ml-upscale
  Export utility for unconstrained channel pruned models
  ☆72Updated 2 years ago
• inisis / OnnxSlim
  A Toolkit to Help Optimize Onnx Model
  ☆267Updated last week
• NVlabs / EfficientDL
  ☆34Updated 5 months ago
• meta-pytorch / superblock
  A block oriented training approach for inference time optimization.
  ☆33Updated last year
• YingkunZhou / EdgeTransformerBench
  edge/mobile transformer based Vision DNN inference benchmark
  ☆16Updated 3 months ago
• amd / ZenDNN
  ☆128Updated last week
• MegEngine / cutlass
  CUDA Templates for Linear Algebra Subroutines
  ☆101Updated last year
• Qualcomm-AI-research / FP8-quantization
  ☆166Updated 2 years ago
• quic / ai-engine-direct-helper
  QAI AppBuilder is designed to help developers easily execute models on WoS and Linux platforms. It encapsulates the Qualcomm® AI Runtime …
  ☆92Updated this week
• microsoft / onnxscript
  ONNX Script enables developers to naturally author ONNX functions and models using a subset of Python.
  ☆412Updated this week